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Shinya Ito joined the Mindscope Program at the Allen Institute in 2021 as a scientist on the team lead by Anton Arkhipov. As a part of Modeling, Analysis & Theory (MAT) team, he works on biophysically detailed simulations of the mouse visual cortex to shed light on understanding mechanisms of visual information processing. The model is built based on cutting-edge data in the field including those collected at the Allen Institute, and is able to reproduce a wide range of phenomena observed in the visual cortex. Previously, he was a postdoctoral scholar at University of California, Santa Cruz where he studied vision, audition and multi-sensory integration in the mouse superior colliculus using a 256-channel silicon probe recording system that he developed. He developed the first virtual auditory space stimulation system for the mouse to study sound localization in the mouse. He also studied functional connectivity between cortical and hippocampal neurons for his Ph.D. in Physics at Indiana University, Bloomington, and received a B.S. in Physics at Hokkaido University.
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As neuroscience is entering the era of big data, one of the goals in the field is to distill them into computational principles and mechanisms. Biophysically detailed modeling is potentially one of the ways to achieve the goal. Shinya’s focus is to take cutting-edge dataset in the field and extract underlying statistics and implement them in the model. The resulting model will bridge between the biophysical structures and the functional properties of the neuronal network and provide a laboratory for testing hypotheses of visual information processing.